Integrate the Klaviyo API with the Python API

Setup the Klaviyo API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Klaviyo and Python remarkably fast. Free for developers.

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Klaviyo and Python Actions#

Add Member To List with the Klaviyo API

Add member to a specific list. See the docs here

Try it

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

Try it

Create New List with the Klaviyo API

Creates a new list in an account. See the docs here

Try it

Get Lists with the Klaviyo API

Get a listing of all of the lists in an account. See the docs here

Try it

Overview of Klaviyo#

The Klaviyo API grants you the power to automate and personalize your email marketing efforts. With it, you can manage lists, profiles, and campaigns, track event-driven communications, and analyze the results. By leveraging this API on Pipedream, you can create intricate, automated workflows that respond in real-time to your users' behavior, sync data across multiple platforms, and tailor your marketing strategies to improve engagement and conversion rates.

Connect Klaviyo#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    klaviyo: {
      type: "app",
      app: "klaviyo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: ` https://a.klaviyo.com/api/accounts/`,
      headers: {
        "Authorization": `Klaviyo-API-Key ${this.klaviyo.$auth.api_key}`,
        "revision": `2023-12-15`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

Start for free — no credit card required

Watch a demo